As soon as I posted that I realized it's due to the type conversions from True
to 1. For some reason, this
---
myMat=scipy.randn(500,500)
t1=time.time()
highEnough=(myMat>0.6)+0
greaterPerLine=[sum(x) for x in highEnough]
elapsed1=time.time()-t1
print("method 1 took %f seconds"%elapsed1)
---
remedies that to some extent. It is only 20% slower than the map. Still, there
must be some way for me to make the clean way faster than
greaterPerLine2=map(lambda(x):len(filter(lambda(y):y>0.6,x)),myMat)
I appreciate any advice on how to do that.
Thanks again,
Dan